Research and implementation of deep network-based breast tumor classification
Haotian Liu, Shuai Wu · 2023
With the development of computer technology, computer-aided diagnosis technology has become one of the important research directions in the field of medicine. Among them, considerable progress has been made in the application of artificial intelligence technology in medical data processing, especially in medical imaging. Currently, breast cancer is one of the most common malignant tumors in women worldwide, accounting for about one-fourth of all malignant tumors, and its incidence has been on the rise in the past decades. If breast cancer can be successfully diagnosed at an early stage, the survival rate of patients can be greatly improved, so early diagnosis and treatment of breast cancer is especially important. However, most of the current diagnostic methods are application-oriented and have not been explored in depth on how to improve the recognition accuracy, so the purpose of this paper is to explore how to improve the accuracy of breast cancer recognition.